Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
petrobras is an organization	1112	24-jul-2018	98.5
n10_30_a_m__2_p_m_ is a time	1111	06-jul-2018	100.0
search_engine_marketing is an economic sector	1111	06-jul-2018	100.0
loyola_university_chicago_school_of_law is a sports team	1111	06-jul-2018	100.0
reflection_vector is a scientific term	1111	06-jul-2018	92.9
national is a bank in venezuela	1114	25-aug-2018	100.0
hyundai is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0
john_steinbeck wrote the book the_grapes_of_wrath	1111	06-jul-2018	100.0
addison_mizner is a person who has residence in the geopolitical location boca_raton	1114	25-aug-2018	100.0
smith is a U.S. politician who holds the office of president	1116	12-sep-2018	99.9